Purpose: Notwithstanding well-established clinical features of Immune Recovery Uveitis (IRU), specific diagnostic tools to identify at-risk patients are lacking. Identification of biomarkers for IRU prediction can allow high-risk patients to benefit from specific preventive strategies, development of therapies, and elucidate immune reconstitution associated pathogenesis.
Methods: HIV+ patients were classified into four groups (A, B, C and D) with and without ocular manifestations, with follow-up over a year. Patients' ocular parameters were examined and manifestations like uveitis and IRU noted. Selected miRNAs were investigated in PBMCs by using miRNA PCR assay. Bioinformatic analysis used miRNet to predict the targets of miRNA-192-5p and miRNA-543 and KOBAS for pathways.
Results: Hsa-miR-192-5p and hsa-miR-543 levels were measured by qPCR using RNA isolated from PBMCs of HIVinfected patients. Hsa-miR-192-5p and hsa-miR-543 were down regulated in patients exhibiting ocular manifestations. Our results showed hsa-miR-192-5p (Group B vs D p 0.007) and hsa-miR-543 levels in PBMCs reliably distinguish between HIV patients diagnosed with IRU. Both miRNAs target multiple genes involved in inflammatory pathways as predicted by bioinformatic analysis.
Conclusion: Decreased expression levels of miRNA-192 in patients with ocular manifestations and IRU, could facilitate identification of the status of the disease in HIV patients.
Keywords: Acquired Immuno-Deficiency syndrome (AIDS); Human Immunodeficiency Virus (HIV); Immune Recovery Uveitis (IRU); biomarker; microRNA; opportunistic infections (OI).